How many tokens does building a CRUD endpoint take with AI?
A crud api endpoint typically takes about 320,000 tokens to build with an AI coding agent (roughly 128,000–695,000 depending on complexity), about $0.9500 at today's GPT-4o prices ($0.3800–$2.08). This is the build-time (developer) cost, not the cost of running the finished feature.
A CRUD endpoint is a well-understood pattern, so an agent can follow your existing conventions with modest iteration: a handler, validation, and a test across a few turns. It's a good mid-size reference point.
Token & cost ranges
Cost uses GPT-4o at current prices. Verified 29 July 2026.
| Scenario | Input tokens | Output tokens | Total tokens | Est. cost |
|---|---|---|---|---|
| Low (simple) | 120,000 | 8,000 | 128,000 | $0.3800 |
| Typical | 300,000 | 20,000 | 320,000 | $0.9500 |
| High (complex) | 650,000 | 45,000 | 695,000 | $2.08 |
Typical cost by model
The same typical token estimate priced across a few common coding models.
| Model | Typical cost | Range (low–high) |
|---|---|---|
| GPT-4o | $0.9500 | $0.3800 – $2.08 |
| GPT-4o mini | $0.0570 | $0.0228 – $0.1245 |
| Claude Sonnet 4.6 | $1.20 | $0.4800 – $2.63 |
| Gemini 2.0 Flash | $0.0380 | $0.0152 – $0.0830 |
How we estimate this
A CRUD endpoint is a well-patterned task — handler, validation, and a test — usually a few agent turns following existing conventions. Input tokens dominate because an agent re-sends file context on every turn; output is the generated code, diffs and tests. Treat these as planning ranges, not a quote — your real usage depends on codebase size, model, prompt caching and how many iterations it takes.
Examples of this size
- A REST resource with create/read/update/delete
- A new query with pagination
- An endpoint plus its integration test
Estimate it with your own model
Plug in your model, complexity and prompt-caching to get a tailored range.
Frequently asked questions
How many tokens does a crud api endpoint take to build with AI?+
A crud api endpoint typically takes about 320,000 tokens to build with an AI coding agent (roughly 128,000–695,000 depending on complexity), about $0.9500 at today's GPT-4o prices ($0.3800–$2.08). This is the build-time (developer) cost, not the cost of running the finished feature.
Is this the cost to build it or to run it?+
This is the build-time (developer) cost — the tokens an AI coding agent burns while implementing the work. Running the finished feature is a separate, usually much smaller per-request cost.
Why is the range so wide?+
A CRUD endpoint is a well-patterned task — handler, validation, and a test — usually a few agent turns following existing conventions. Input tokens dominate because an agent re-sends file context on every turn; output is the generated code, diffs and tests. Treat these as planning ranges, not a quote — your real usage depends on codebase size, model, prompt caching and how many iterations it takes.
How can I lower the cost?+
Split large work into smaller pieces, enable prompt caching so re-sent context is billed at the cheaper cache-read rate, and use a cheaper model for routine steps. Try your own model in the Cost to build X estimator.